Re: help number instruction
- To: mathgroup at yoda.physics.unc.edu
- Subject: Re: help number instruction
- From: withoff (David Withoff)
- Date: Fri, 1 Jul 1994 19:27:45 -0500
> Dave Withoff writes: > >It is somewhat easier to make sense of these messages if you have > >the list of pseudo-code instructions handy. This list is available > >in various technical reports > > Dave, can you give an explicit reference? Is there anything > accessible on line? > > Thanks, > > Will Here are three items of interest that are available on MathSource. I got this information by sending mail to mathsource at wri.com with the message find Compile Dave ===================================================================== 0203-971: Compiling Mathematica Procedures (June 1992) Author: Matt Cook A tutorial on compiling functions in Mathematica using the Compile function. Reprint from the Mathematica Conference, June 1992, Boston. 15 pages. 0011: CompilerNotes.ps PostScript document (June 1992; 112 kilobytes) 0205-928: Decompiling Compiled Functions (November 9, 1993) Author: Terry Robb Decompile[compiledFunction] decompiles a compiled function and returns a Function that would evaluate exactly the same as if the pseudocompiler were executing op codes. This is useful for seeing how the pseudocompiler works. A simple example is Decompile[Compile[x, x*Exp[x]]]. Registers named rB, rI, rR, and rC are used for holding boolean, integer, real, and complex datatypes. These registers can be traced using On[rI, rR] etc. 0011: Decompile.m Mathematica package (November 9, 1993; 8 kilobytes) 0201-889: The Mathematica Compiler (Technical Report) (November 1991) Authors: Matthew Cook and Jerry Walsh Technical report giving details of the compiled code objects created by Compile function in Mathematica 2.0. 0011: Compiler.txt Plain-text document (November 1991; 9 kilobytes) 0022: Compiler.ps PostScript document (November 1991; 53 kilobytes) 0204-028: Numerical Computation with Mathematica (June 1992) Author: Jerry Keiper The area of numerical computation tends to break somewhat naturally into three subareas which, for want of better terms, we will call sampling, linear algebra, and theory. This is a gross oversimplification and these terms are not very descriptive, but they are useful labels for our discussion here. This material discusses numerical methods that are based on sampling and linear algebra. Reprint from the Mathematica Conference, June 1992, Boston. 92 pages. 0011: Numerical1.ps PostScript document (June 1992; 993 kilobytes) 0022: Numerical2.ps PostScript document (June 1992; 172 kilobytes)